
PFRMAT SS
TARGET T0091
AUTHOR 2362-9859-5939
REMARK PSSP web server, prediction  based on single sequence
METHOD This method utilise the neural network and example based approach to
METHOD predict the secondary structure of proteins.
MODEL 2
M C 0.96
F C 1.00
G C 0.88
K C 1.00
G C 0.87
G C 0.87
L C 0.87
G C 0.87
G H 0.96
L H 1.00
M H 0.95
K H 1.00
Q H 1.00
A H 1.00
Q H 1.00
Q H 1.00
M H 1.00
Q H 1.00
E H 1.00
K H 1.00
M H 1.00
Q H 0.95
K H 0.96
M H 1.00
Q H 1.00
E H 1.00
E H 1.00
I H 0.96
A H 0.95
Q H 0.69
L H 0.97
E C 1.00
V C 0.81
T C 0.87
G C 0.87
E C 0.87
S C 1.00
G C 0.92
A C 0.87
G C 1.00
L E 1.00
V E 1.00
K E 1.00
I E 1.00
T E 1.00
I E 0.95
N C 0.87
G C 1.00
A C 1.00
H C 0.92
N C 0.77
C C 0.78
R E 0.77
R E 0.95
I E 0.95
D E 0.95
I C 1.00
D C 1.00
P C 1.00
S C 0.92
L H 1.00
M H 1.00
E H 0.89
D H 0.96
D H 0.96
K H 0.95
E H 0.96
M H 1.00
L H 1.00
E H 0.95
D H 0.96
L H 1.00
I H 1.00
A H 1.00
A H 0.96
A H 1.00
F H 1.00
N H 0.95
D H 0.96
A H 0.96
V H 1.00
R H 1.00
R H 1.00
A H 1.00
E H 1.00
E H 1.00
L H 1.00
Q H 1.00
K H 1.00
E H 0.96
K H 0.96
M H 0.95
A H 0.95
S H 0.81
V H 0.77
T C 0.77
A C 1.00
G C 0.94
M C 0.98
P C 0.98
L C 1.00
P C 0.98
P C 1.00
G C 1.00
M C 0.98
K C 0.90
F C 1.00
P C 0.90
F C 1.00
END

